Thanks Lars. Nice idea, I'll give it a try! :)
On 9/30/2013 8:07 PM, Lars Buitinck wrote: > 2013/9/30 Issam <issamo...@gmail.com>: >> I coded Gaussian RBM in scikit form. Testing the code, however, on the >> digits dataset gave me unreliable performance. Though I followed references >> and py2learn's G-RBM to the T, the scores suggest that my implementation is >> wrong. Applying logistic regression on the raw pixels gave score of 0.947, >> whereas on G-RBM features the score is 0.419. Seemingly, the code is >> incorrect or G-RBM is not suitable for scikit's digits dataset. > I'm not much of an expert on these things, but I think they're > intended for semisupervised learning. Did you try that? I.e. keep a > small test set, train RBM on the rest, then train LR on a small subset > of the training set. That way, the performance should be better than > with the same procedure but omitting the RBM. > > ------------------------------------------------------------------------------ > October Webinars: Code for Performance > Free Intel webinars can help you accelerate application performance. > Explore tips for MPI, OpenMP, advanced profiling, and more. Get the most from > the latest Intel processors and coprocessors. See abstracts and register > > http://pubads.g.doubleclick.net/gampad/clk?id=60133471&iu=/4140/ostg.clktrk > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general ------------------------------------------------------------------------------ October Webinars: Code for Performance Free Intel webinars can help you accelerate application performance. Explore tips for MPI, OpenMP, advanced profiling, and more. Get the most from the latest Intel processors and coprocessors. See abstracts and register > http://pubads.g.doubleclick.net/gampad/clk?id=60134791&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
